{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "ideal-strategy",
   "metadata": {},
   "source": [
    "# Training a Quantum Model on a Real Dataset\n",
    "\n",
    "This tutorial will demonstrate how to train a quantum machine learning model to tackle a classification problem. Previous tutorials have featured small, artificial datasets. Here we will increase the problem complexity by considering a real-life classical dataset. We decided to pick a very well-known – albeit still relatively small – problem: the Iris flower dataset. This dataset even has its own Wikipedia [page](https://en.wikipedia.org/wiki/Iris_flower_data_set). Although the Iris dataset is well known to data scientists, we will briefly introduce it to refresh our memories. For comparison, we'll first train a classical counterpart to the quantum model.\n",
    "\n",
    "So, let's get started:\n",
    "\n",
    "- First, we'll load the dataset and explore what it looks like.\n",
    "- Next, we'll train a classical model using [SVC](https://scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html) from [scikit-learn](https://scikit-learn.org/) to see how well the classification problem can be solved using classical methods.\n",
    "- After that, we'll introduce the Variational Quantum Classifier (VQC).\n",
    "- To conclude, we'll compare the results obtained from both models.\n",
    "\n",
    "## 1. Exploratory Data Analysis\n",
    "\n",
    "First, let us explore the Iris dataset this tutorial will use and see what it contains. For our convenience, this [dataset](https://scikit-learn.org/stable/datasets/toy_dataset.html#iris-dataset) is available in scikit-learn and can be loaded easily."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "valued-leeds",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.datasets import load_iris\n",
    "\n",
    "iris_data = load_iris()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "billion-advance",
   "metadata": {},
   "source": [
    "If no parameters are specified in the `load_iris` function, then a dictionary-like object is returned by scikit-learn. Let's print the description of the dataset and see what is inside."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "everyday-commission",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      ".. _iris_dataset:\n",
      "\n",
      "Iris plants dataset\n",
      "--------------------\n",
      "\n",
      "**Data Set Characteristics:**\n",
      "\n",
      ":Number of Instances: 150 (50 in each of three classes)\n",
      ":Number of Attributes: 4 numeric, predictive attributes and the class\n",
      ":Attribute Information:\n",
      "    - sepal length in cm\n",
      "    - sepal width in cm\n",
      "    - petal length in cm\n",
      "    - petal width in cm\n",
      "    - class:\n",
      "            - Iris-Setosa\n",
      "            - Iris-Versicolour\n",
      "            - Iris-Virginica\n",
      "\n",
      ":Summary Statistics:\n",
      "\n",
      "============== ==== ==== ======= ===== ====================\n",
      "                Min  Max   Mean    SD   Class Correlation\n",
      "============== ==== ==== ======= ===== ====================\n",
      "sepal length:   4.3  7.9   5.84   0.83    0.7826\n",
      "sepal width:    2.0  4.4   3.05   0.43   -0.4194\n",
      "petal length:   1.0  6.9   3.76   1.76    0.9490  (high!)\n",
      "petal width:    0.1  2.5   1.20   0.76    0.9565  (high!)\n",
      "============== ==== ==== ======= ===== ====================\n",
      "\n",
      ":Missing Attribute Values: None\n",
      ":Class Distribution: 33.3% for each of 3 classes.\n",
      ":Creator: R.A. Fisher\n",
      ":Donor: Michael Marshall (MARSHALL%PLU@io.arc.nasa.gov)\n",
      ":Date: July, 1988\n",
      "\n",
      "The famous Iris database, first used by Sir R.A. Fisher. The dataset is taken\n",
      "from Fisher's paper. Note that it's the same as in R, but not as in the UCI\n",
      "Machine Learning Repository, which has two wrong data points.\n",
      "\n",
      "This is perhaps the best known database to be found in the\n",
      "pattern recognition literature.  Fisher's paper is a classic in the field and\n",
      "is referenced frequently to this day.  (See Duda & Hart, for example.)  The\n",
      "data set contains 3 classes of 50 instances each, where each class refers to a\n",
      "type of iris plant.  One class is linearly separable from the other 2; the\n",
      "latter are NOT linearly separable from each other.\n",
      "\n",
      ".. dropdown:: References\n",
      "\n",
      "  - Fisher, R.A. \"The use of multiple measurements in taxonomic problems\"\n",
      "    Annual Eugenics, 7, Part II, 179-188 (1936); also in \"Contributions to\n",
      "    Mathematical Statistics\" (John Wiley, NY, 1950).\n",
      "  - Duda, R.O., & Hart, P.E. (1973) Pattern Classification and Scene Analysis.\n",
      "    (Q327.D83) John Wiley & Sons.  ISBN 0-471-22361-1.  See page 218.\n",
      "  - Dasarathy, B.V. (1980) \"Nosing Around the Neighborhood: A New System\n",
      "    Structure and Classification Rule for Recognition in Partially Exposed\n",
      "    Environments\".  IEEE Transactions on Pattern Analysis and Machine\n",
      "    Intelligence, Vol. PAMI-2, No. 1, 67-71.\n",
      "  - Gates, G.W. (1972) \"The Reduced Nearest Neighbor Rule\".  IEEE Transactions\n",
      "    on Information Theory, May 1972, 431-433.\n",
      "  - See also: 1988 MLC Proceedings, 54-64.  Cheeseman et al\"s AUTOCLASS II\n",
      "    conceptual clustering system finds 3 classes in the data.\n",
      "  - Many, many more ...\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(iris_data.DESCR)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "arctic-girlfriend",
   "metadata": {},
   "source": [
    "There are a few interesting observations we can find from this dataset description:\n",
    "\n",
    "- There are 150 samples (instances) in the dataset.\n",
    "- There are four features (attributes) in each sample.\n",
    "- There are three labels (classes) in the dataset.\n",
    "- The dataset is perfectly balanced, as there are the same number of samples (50) in each class.\n",
    "- We can see features are not normalized, and their value ranges are different, e.g., $[4.3, 7.9]$ and $[0.1, 2.5]$ for sepal length and petal width, respectively. So, transforming the features to the same scale may be helpful.\n",
    "- As stated in the table above, feature-to-class correlation in some cases is very high; this may lead us to think that our model should cope well with the dataset.\n",
    "\n",
    "We only examined the dataset description, but additional properties are available in the `iris_data` object. Now we are going to work with features and labels from the dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "mobile-dictionary",
   "metadata": {},
   "outputs": [],
   "source": [
    "features = iris_data.data\n",
    "labels = iris_data.target"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "signed-iraqi",
   "metadata": {},
   "source": [
    "Firstly, we'll normalize the features. Namely, we will apply a simple transformation to represent all features on the same scale. In our case, we squeeze all features onto the interval $[0, 1]$. Normalization is a common technique in machine learning and often leads to better numerical stability and convergence of an algorithm.\n",
    "\n",
    "We can use `MinMaxScaler` from scikit-learn to perform this. Without specifying parameters, this does exactly what is required: maps data onto $[0, 1]$."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "alternative-preliminary",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import MinMaxScaler\n",
    "\n",
    "features = MinMaxScaler().fit_transform(features)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "phantom-hollow",
   "metadata": {},
   "source": [
    "Let's see how our data looks. We plot the features pair-wise to see if there's an observable correlation between them."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "whole-exhaust",
   "metadata": {
    "tags": [
     "nbsphinx-thumbnail"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x1689824b320>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1058.88x1000 with 20 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "\n",
    "df = pd.DataFrame(iris_data.data, columns=iris_data.feature_names)\n",
    "df[\"class\"] = pd.Series(iris_data.target)\n",
    "\n",
    "sns.pairplot(df, hue=\"class\", palette=\"tab10\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "quarterly-adult",
   "metadata": {},
   "source": [
    "From the plots, we see that class `0` is easily separable from the other two classes, while classes `1` and `2` are sometimes intertwined, especially regarding the \"sepal width\" feature.\n",
    "\n",
    "Next, let's see how classical machine learning handles this dataset. \n",
    "\n",
    "## 2. Training a Classical Machine Learning Model\n",
    "\n",
    "Before we train a model, we should split the dataset into two parts: a training dataset and a test dataset. We'll use the former to train the model and the latter to verify how well our models perform on unseen data.\n",
    "\n",
    "As usual, we'll ask scikit-learn to do the boring job for us. We'll also fix the seed to ensure the results are reproducible."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "pursuant-survival",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "from qiskit_machine_learning.utils import algorithm_globals\n",
    "\n",
    "algorithm_globals.random_seed = 123\n",
    "train_features, test_features, train_labels, test_labels = train_test_split(\n",
    "    features, labels, train_size=0.8, random_state=algorithm_globals.random_seed\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "close-festival",
   "metadata": {},
   "source": [
    "We train a classical Support Vector Classifier from scikit-learn. For the sake of simplicity, we don't tweak any parameters and rely on the default values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "proved-reviewer",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.svm import SVC\n",
    "\n",
    "svc = SVC()\n",
    "_ = svc.fit(train_features, train_labels)  # suppress printing the return value"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "earned-destination",
   "metadata": {},
   "source": [
    "Now we check out how well our classical model performs. We will analyze the scores in the conclusion section."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "veterinary-proxy",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Classical SVC on the training dataset: 0.99\n",
      "Classical SVC on the test dataset:     0.97\n"
     ]
    }
   ],
   "source": [
    "train_score_c4 = svc.score(train_features, train_labels)\n",
    "test_score_c4 = svc.score(test_features, test_labels)\n",
    "\n",
    "print(f\"Classical SVC on the training dataset: {train_score_c4:.2f}\")\n",
    "print(f\"Classical SVC on the test dataset:     {test_score_c4:.2f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "limited-hybrid",
   "metadata": {},
   "source": [
    "As can be seen from the scores, the classical SVC algorithm performs very well. Next up, it's time to look at quantum machine learning models.\n",
    "\n",
    "## 3. Training a Quantum Machine Learning Model\n",
    "\n",
    "As an example of a quantum model, we'll train a variational quantum classifier (VQC). The VQC is the simplest classifier available in Qiskit Machine Learning and is a good starting point for newcomers to quantum machine learning who have a background in classical machine learning.\n",
    "\n",
    "But before we train a model, let's examine what comprises the `VQC` class. Two of its central elements are the feature map and ansatz. What these are will now be explained.\n",
    "\n",
    "Our data is classical, meaning it consists of a set of bits, not qubits. We need a way to encode the data as qubits. This process is crucial if we want to obtain an effective quantum model. We usually refer to this mapping as data encoding, data embedding, or data loading and this is the role of the feature map. While feature mapping is a common ML mechanism, this process of loading data into quantum states does not appear in classical machine learning as that only operates in the classical world.\n",
    "\n",
    "Once the data is loaded, we must immediately apply a parameterized quantum circuit. This circuit is a direct analog to the layers in classical neural networks. It has a set of tunable parameters or weights. The weights are optimized such that they minimize an objective function. This objective function characterizes the distance between the predictions and known labeled data. A parameterized quantum circuit is also called a parameterized trial state, variational form, or ansatz. Perhaps, the latter is the most widely used term.\n",
    "\n",
    "For more information, we direct the reader to the [Quantum Machine Learning Course GitHub](https://github.com/Qiskit/textbook/tree/main/notebooks/quantum-machine-learning#).\n",
    "\n",
    "Our choice of feature map will be the ZZ feature map. The ``zz_feature_map`` is one of the standard feature map circuits in the Qiskit circuit library. We pass `num_features` as `feature_dimension`, meaning the feature map will have `num_features` or `4` qubits.\n",
    "\n",
    "We decompose the feature map into its constituent gates to give the reader a flavor of how feature maps may look."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "optional-pocket",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 1774.27x785.944 with 1 Axes>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from qiskit.circuit.library import zz_feature_map\n",
    "\n",
    "num_features = features.shape[1]\n",
    "\n",
    "feature_map = zz_feature_map(feature_dimension=num_features, reps=1)\n",
    "feature_map.decompose().draw(output=\"mpl\", style=\"clifford\", fold=20)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "noticed-airport",
   "metadata": {},
   "source": [
    "If you look closely at the feature map diagram, you will notice parameters `x[0], ..., x[3]`. These are placeholders for our features.\n",
    "\n",
    "Now we create and plot our ansatz. Pay attention to the repetitive structure of the ansatz circuit. We define the number of these repetitions using the `reps` parameter."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "elder-interaction",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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mWmVhG5UlJpjQ2LHwFr3x1pR1V38e83oVpZqsKDYpCqMGTNe+P5GwH22a3Xz1uR0xP6J/p1HXvf7bjXORlBqL+Y9bsCw7EVnlGHAq5TC2Rv+AhU/9Xutt8hhAMsZAcXERvtn4D7z20ErtjvWxs3vx6uf3YOnMaNT3CTRrm4wBUu3679tatlEZYsIh59DIoGlAa62HpUxO3iXkFeQg0O/GpZ+D/EOQfilZO6CXjSU+n3EGjfxbmL3duKQotAm++VqjvfK9+Mx9x9ahV/iwq6/9fvMCbDu8EnMf+wWe7teXvyYi2x0DDsdtxbmMeDw8LwyT5obi6Jld+NeKqVi94yOzt8tjAMkYA+KCK+1S0tXhN+1CbkFg/eba8B1zMQZIlnZviu+t0EZliAkmNHZKjJ10dXbD/uMbtJ9X7/gQg7qOr7T7vIFvI7QJ7o7fDnyt/Szu1Ab6N69yuNm8ZX/BtuhVN/w+9WKiNgY5sL4eNHEpf6BVk87a93+e3YMWjdtr4zqFFVsWIjJqGeZN2aB1RxKRcceAkf2exPJXk/H1/8VrDzF2ecaYpdrvK8NjAKkWA43Ejb2sZJw+d1T7WcwhTU47iZCgdpV+NmOAVGj3NVlhRhuVPSaY0Nixlx78Bp/+8hIeeqsNDp3cjKl3v13la2fcvwRrdy3Bw/Pa4r+Rb2HWuM+rfK0oICB6dSoSd7LKdyP6evrjp50fXq1g0a+jXgL2QmaCNkFNTBQTZf/EOM9nFvWu5b+WiGpzDDAHjwGkWgw0qNdYqwr1j6/H4fGFXfH6l6MwbdRibT5pZRgDpMqx/18rHseEfzTHhYsJeOmTO7X3WNJGZY8JzqGxY62adsaHz+4z6bUhjdph0TM7a3xdZvYFLctuF9Lzhuf6dLhbe5T54Nm9V7/fdWQ13n4iUvs+yL85NrxdauK/gohscQwo750nN1f5HI8BpGoMDL55gvaoCWOAVGr3M8YsqfT35rRRFWKCPTQSauDbGDM/GqQtImYKkSlHx23RKr+IhZnmTdW7Mc3xyQsx2tA2IjIejwHk6BgD5IjMbfeOFBPsoZHQd6+lmPV6sXgSEamDxwBydIwBckTmtntHign20BARERERkbSY0BARERERkbSY0BARERERkbQ4h8ZOOLsBEfoirMr8e4jIcY8BAo8DZA7GADkiFdu9ETHBhMZOODkBLuavmUREiuAxgBwdY4AcEdu9dXDIGRERERERSYsJDRERERERSYsJDRERERERSYsJDRERERERSYsJDRERERERSYsJDRERERERSYsJDRERERERSYsJDRERERERSYsJDRERERERSYsJDRERERERSYsJDRERERERSYsJDRERERERSYsJDRERERERSYsJDRERERERSYsJDRERERERSYsJDRERERERSYsJDRERERERSYsJDRERERERScvV6B0gXWkpUFIIZTi7AU5ORu8FkTxUOwYIPA6QORgD5IhUbPdGxAQTGjshGnPkIigjYjrg4m70XhDJQ7VjgMDjAJmDMUCOSMV2b0RMcMgZERERERFJiwkNERERERFJiwkNERERERFJiwkNERERERFJi0UBiEh5OflAQjqQngPkF+m/KywG0rKBAB9WISL15RUCienAhexrMVBQBJy7CAT5Ac6MAVKcOOYnZgDnL10fA+J3TeoDLrzFLzUmNESkpJSLwPYTQEyCnshUdLkAeON/gLc70KYx0C8MaNuEF3akjowcYGcsEHUGuHAJKK3wfG4h8OYawMMVCA0E+rYBOofwwo7Uupm1+ySwPx5IzgRKSm+Mgbd/BtxcgOYBQK/WQPdQPSZILvyTEZFSzqYBPx0ETpwz7fUisfnjrP4Iqgfc0Qno2Yq9NiSv1Cw9BqIT9DUuaiLuVh9L0R9+XkBEe+DWdkxsSF7ZecCaKGDfKaCoxLTem1MX9Mf/DgD9w4A7OwPuvEqWBv9Uijt0cjNe+Djiut95uvugeVBbDOk+Gff1fwYuLmwGJL+iYmBdNLDxyI134Ux1IQv4Zidw8DQwvjdQ3xtK4HHAMYh2v/04sPogUFBs2WdcytUv6EQMPNhXH4qjAsaA4zh0Bvh+D5Cdb/nwTHEeETe5JvQBWjeCEg4pHgPy7jmZJaLbBPQKH45SlCIjKwUb9n+Fj1c/jzPnj+K5MUuN3j2iWt+NWxIJnE23zucdSQLmrQWm3Aa0CoIyeBxQl5gL8OU2ICbROp93Jg1Y8DMwqT/QrQWUwRhQO6FfuRfYdsI6nyducL2/Abinu95rqYoIRWOAHcoOIiy4O4b0mIShPSZj3G2zsOiZXQiq3xy/7PkEmdkXjN49ololM4t/s14yU34o2kcbgZPnoQweB9Qkhsv8e7P1kpkyYqiOSJLE/ANVMAbUTWb+u8t6yUwZ0dkveiw3HIYywhSNASY0DsrL3QfhLfugtLQUSWknjd4dIouHmS3drBcAqAsFVy4Uz12CkngckJ+YI/P1DtPnjFny+d+Iz0+BkhgDavj5ELAnru4+f+0hvbiAirwUiQEOOXNgyVcarp93gNG7QmSRDTH60BhzPH+XPvFZzBVY+Ktp46mX7QSmDwWcFbwFxOOA3MSkZzFnoC5jQNz9/nYXMGcE4OkG5TAG5BZ3HtgYU7cxIKzcB4Q1BgJ8oZxkBWJAwdPzjVJTUzF79my0adMGnp6eCAkJwbPPPoucnBw8+uijcHJywuLFi6GyvMLLuJiTqnUnnkqOxqKVTyM28SDCQ3ppE8KIZCPWlbFkGIA4ifl7619NFZ8KbDkG6fE4oJaLucDK/baJAVEC+qcDkB5jQL25Y8t23ViSvC5iQFQD/O9u0yoH2rM8RWNA+R6aqKgoDBs2DCkpKfDx8UGHDh2QlJSERYsW4eTJk0hP1wfed+vWDSr7av1r2qO8AZ1G45lRHxi2T2Q7mZeBXSeBlEx9vL2PB9AlBOjQTN5eh9VRllczs8Qvf+jrdMh8h9qRjwOX8/UhKafT9IsgLzcgvBnQtYW+BoWMREKfW2C77e2IBQa1Bxr7QVqOHAOi3YvqdcdT9J5nUZK4dRBwS2t5j2uiTYrJ+7Yi/u+OJgEdgiGtrxSNAVfVe2ZGjhypJTMzZ87Ea6+9hnr16mnPzZ8/H3PmzIGrq6vWQ9OlSxeobETvqbi1y1gUlRRqGfnyzfOQejEB7m6eRu8a1fGE+RV79fKTFS/+xcVdAx9gWBd9MTGZiEUCjyXb/mJADO8ZIO8NLIc8Doi/m+hZ2B2nJ/Pl7YsHVu3XKxjd3kGutYfEBeneOpwzUJUdJ4BRPSAtR4yBkhJg3WFg6zG92El5IsER67X0aQOM7Aa4ushXptzWxILNMic0IxSNAUnvzZpm+vTpSEhIwLRp07BgwYKryYwghqB17doVRUVFCA0NhZ+fxLecTBAcGIbubYegV/gwjI+YjTceWY1jCXvx3g9PGL1rVIfDUf61Xl8lvKqeDDGM5Nud8lVwEScUI2w7LvdwA0c7DoghIqJSnah8VDGZKb+SuLigWy7ZUJL9p/R/n62JidFGbNdaHC0GRDLz1XZ9ja6KyUwZ8ffc8qdeYEUUWpGFKFRhy96ZMkcSgbRsSCtY0RhQNqE5evQoli9fjsDAQLz55puVvqZHD/02k0hsypQlQL169YKHh4fWe6OijqH9tIWUNh9ajpj4HUbvDlmZSGA+2ayvGG5qBReR+MjC2uVpTSWqqaXnQBmqHwdEMYdTqaa9VgzJFIvpycKoGBA9Q/HyVnZ1uBgQQ2VNPbaL4VSiR18WRsWAuO8hhp2poqMiMaBsQrNs2TKUlJRg4sSJ8PWtvCSFl5fXDQlNbGwsfvjhBzRp0gS33HILVDZxyCtwdnbBl+teNXpXyMr+TDJ/XRbRSyPDHWpxQWXEXbnyxQhUoupxQJTaNjdJjzxadU+OvTGyHVp7zSejqRoD4lhpbjETMRRZzLmUgZExwPOA/VE2odm0aZP2NSIiosrXiN6YignNrbfeiuTkZPz0008YMmQIVBYc2AYRXR/AwdiNiI7bavTukJWHRpkrMUOv5mXvEg0+kah2MafqccCSsfVi+FnUadi9i5eBS3nGbZ8xIAcxx0rMITO3d39nLKQYSpeQYdz2GQP2R9mE5vRp/azUsmXLSp8Xc2e2b99+Q0LjLGvJJwtNuP1lODs548v18mbldD3Ry/KnhRPmZehGzzD47qGYd6QaFY8DjIG6k8kYkIKlbVmGGBDzgcxN1qxJll4sR4oBp1KxNKiCAgICkJGRgR07dqBv3743PP/NN99g0qRJWqGAixcvVjpX5vXXX8ff//53bfXU2ujZs6dWaa067q5eWDrNoJnOdWDq4jAUFOUavRsOycXNC6P+YVlbOrHtUxxafX05R3sTessD6DlmQbWLpVXHz1MvVS3u8FV3l7uqBdcSotdi19ePw9pUOwYYfRwY8fJ+ePk1Nvt9yUc3YvsXD8GeBbbqg9ueWGFYDGQmxeC39+6EtTEGrOu2J35AYKveZr8v60Ic1i24FfbM068J7n55X5XP1xQHtY2Bovwc/PhqO1iDiu3e0pgQ0z327av67+qQZZvFf4pIaA4cOHBDQiOGlM2aNUv7XpRrruuJ/yKZSUysfvaap5s3VJKclKQt3kS25+RkeS9jZvq5Gtuq0eq1Ol/jYmmmECczU19bXk7WxTr5P1LtGGD0cSA/N9uihCbrUprdx0CJd5KhMZCXm8MYkCAGsrMyEGjB+3JzMu0+Brwu5Vf7vKlxYGkMFBXmW+3/SMV2b0RMKJvQiPkvotLZvHnzMHToULRtqy8esXfvXkyePFlbo8ZWC2qK5MqUDF0lTZs1Yw+NgdLPRiEgxPy2XZhxEsHB9l1g38e9tNq7aTUx585cZZxLcuvk/0i1Y4DRx4FLydHwb3yT2e/LSz1m9zHg6+ViaAyUFmQxBiSIgcvn/wRwl9nvy0qJsfsYcHJxQ0lxIZxd3CyKg9rGQGFuhtX+j1Rs95bGhCnXyw435ExM+BfJSlpamrZ4Znh4OPLy8rQqZsOGDdMqoK1btw5Lly7FlClTKv0Maw05M0VxARC5CMqImA64uBu9F45LrBWxbJd57xF3qV65F3Cx82lkWbnAKystf//ro/R/qxgD/foq89//YN+6WYhUtWOA0ceBk+eB9zeY9x5XZ+DvowEfD9g1MXH7/77Xq1gZEQN3dAKGX5t6ajWMAevP9/t//zO/euWs4UBwA9i9BT9bXhigtjFwc0vgoQGwChXbvRExYeeXLpZr3rw5tm7dihEjRsDT0xPx8fHavJolS5Zg7dq1OH78+A0FAYhUIQ629cxc9HdgW/tPZoR6XkB9A29ohQQYt20yXesg8/9WPVvZfzIjODsBzQ1sh0Zum0zXwAfoGmLee9o0liOZMbod8jxgfyS4fLFc+/btsWbNGmRlZWmP3bt3Y+rUqcjJydESHFHRrFOnTkbvJpHVubsCjw3Sv5qiSwgQ0R7SCDN/aoRViGEKjf2M2TaZR0yNfHhgzRPky7RoCIzqCWmIC08jiJseIlkkOYzrDTT1Nz0Bmtwf0jDqPGD0tskBE5qqxMTEaMPIwsLC4O1942SsFStWaI8jR45c97OllReIjNAyEHhmCBDgU/1FX/8wvetcporl/cKM2W6fNnL9Pzm6hr7As3cAzWu449y5OfDU7YCHRLNK+9yk99TYmrj54Wtm7y8Zx9sdmDYECG9a/etCA4EZdxjb+22uLi2M6VEVvTMhDW2/XaqeRIdv64mOjq52uNnYsWMr/fmhhx7CF198YYM9JLIOcdD92z3AkSRgxwngaLI+nlpcCN3eQU8MxF052bQKApo1AJJsuLCa+D8zKpGi2iU1M4cBceeBbSeAqDPXYkAk8+JvauodbHsixv+LROzQWdtuVwxNJbmIi/4nBuur228/ARxPAdKzATG1xs0FeHoI0LKhfoNLJmLfRWK/Ub/3bDMDGAN2iQlNJeylTsLJpEN4d8UUXM7PQmP/lpgz4T/w9w3C0FlOCG3SCY8Nn4fe7Ydrr/3gx+nYeeQnnMs4jY9mHESb4GsVrl74OAJxSYcwaeirGD1wRq326fc/VmD30bXIzs3A6XNH4OHmBX/fRpg++iNtpVmyP6JHoVNz/fHaSuBirj6/ZkTdF/irM+LEe1dn4LPfbbfN3jdZVt7TVseASXND4ebqcbVizoTBL+G2buO17x39GCDay02N9UdcuRi4/xZIbWgnIDpBLxJgq2E24maCvcbA3j9/xefr/oaiogJ4uHtjxv1LcFMz/Tzv6DFQNudk/JVlacrOBaIHR/TOyOrWcGBHLJBbYJvtBdUDuofKc/03Z+kdyMhK0ZZz8Pash6fvXYQ2wTcrGRNMaOzY28sfxgvjPtca5697PsPSNS9g9gNfas+9+9RW+Hpdu604sMsYjLttNp778MayGwueiMT8/z5slX3afngVBnUZBxcXN/QKH6at4fPj9sVY+P1jeOfJzVbZBpGpQ19E8YODp+t+Ww28gXu7w66PAcLLE5dfdzIrw2OAmsQF6pCOwPrDdb8tMRzvgT62v4tvagxkXc7Am8smYuGTvyO0SUdEx23FW99OxL9f0P9zGANqEkPkRvUAvt1Z99tyulLlUvQMyXL998rk766+dlv0Ku1zlzx/SMmYcMiEZtOmTbB3sYkH4eXhe/XiZGjPh7BkzUwUFlV+G6JL69qv6pudm4kp73RCfmEuguqHoLA4Hylpcbi9x2TMHPsJiooLERO/HbPGfwHXcrXf27fogxVbKl+5nagu3d8TOHmu+nUEqlpXwJT1OspOYuJCzrPy5Q7s5hhgDTwGyEeUUD6caN7wS3NjQLinuz58z15jICntJPy8G2rJjNC59UCczzyDEwkHENbc9LsRjAH53NIK+OMscDihbmPgtva26aG05vWfb7nEJyfv4pUzmnlkiQmHTGhkkJx+CqeSo/H4wmt3W/MLLiP1Ut2t3isa/uBuD8LLox4mDX0Fe4+tw7JNc7UGK0TFRqJDy37XNVhh1bb30LfjvXW2X0RVEZOTp0YAi38zfU2Ohb+at40xvYB2NUyotZdjwPz//gWlKEV4SC88OvwtbYiCOXgMkI+rCzD1NmDReiA9p25iQFRA7NfGvmOgeWAYLl1OQ0z8DnQM7YcdMT9pw3VSMuLNSmgYA/IRvYaT+gEfbgTOpNVNDIjy13d3k/P6b96yv+DQyUjt+38++rPZ75clJpjQ2LHwFr3x1pR1V38e83rd3xqITYrCqAHTte9PJOxHm2b6WEthR8yP6N9p1HWv/3bjXCSlxmL+4xvrfN+Iqhp2Iya1frwJyMm33uc6XUlmxMRxGY4BYqhNowYttLtln//6N8xf/hDmWnDy4jFAPmJul6hk9dEm4EKWdT9bFA8RF3JGTRg3NQZ8vOrj1ckr8OkvLyEvPxvtW/ZFy8Yd4OJs/mUOY0A+ogddFD7492bg1AXrfrYY2jyxr23XabPm9d+cCV9pX9fv+xL//nmOsucFFiC1U00DWmvd5WVy8i4hryAHgX7BdbrduKSoqxPGtEZ75XtRKGHfsXXa2Mgy329egG2HV2LuY7/A093Gs6WJKpTRnHkX0LaJdT5PVH578nZjkxlzjwEimRHEXTIxwfPwqa0WbZfHADkF+AIz7gR6WmnCspgsLtYkGXmzccmMuTHQrU0EFj65BR/O2I/HR76DtEtJWlJjLsaAnESbfXKw3qNojSYr5src1x2Y3E/vCZX9+u+Ong/hUGwkLuWY2I0lWUwwobFTYuykq7Mb9h/foP28eseHGNR1PNxc3Wv92aL7UUwOqyj1YqJ25gqsrwdNXMofaNWks/b9n2f3oEXj9tq4TmHFloWIjFqGeVM23DAxmcioCzpxMhvXSz+xWaKslO+cEdZLjmxxDMgtyNHGOZeJPLjsujtoFfEYoG553kn9gUdvrV1Fvq4tgBfvBnrYoJqTNc+DaZeSr37/zW9voNtNg6ussMQYUJNYTFoUcJl+B9C0fu0Wrp01XJ83Y+u1x6x1/Zedm4nUi0lXf95++Ef4+TREPe8AJWOCQ87s2EsPfoO3v3sEi1Y+iWYN2+DFB7+u8rX/WvE4dv+5FulZKXjpkzvh7VEPX74YW+lrjyfsw31Xug4rTkQrfxHk6+mPn3Z+qI2TFBUs+nW8T/v9hcwEbYKauIsgyv4J7q4eeH/6biv8q4ksJ+4ki3VFerbS1xvZdty0MdWiUo54n1g4054WljP1GJCZdQ5//+p+lJQUa3NoRGzOfkAfZlAZHgPU1jkE6BAMxCQC248Dx1Jqfo+4CSBKk4s4EKVpZTwPfrnuVa1nsrikSBtyNnPcp1W+ljGgNjF5f/YIIPacvv5U9Nmay5uLHhmRxPdvq/f6y379l5N3EW/8Z6w2md/ZyRn1fYLwxiNrtApkKsYEExo71qppZ3z47D6TXjtjzBKTXpeZfUHLstuF9LzhuT4d7tYeZT54du/V73cdWY23n9AnlQX5N8eGt+1jrR6iqu7S9WqtP7JygbPp+iMjBygs1sdC+3ro82/EiathPWNWXbfWMaBpw9b4+LmDJn0mjwGOQbRxUdpcPC4X6Isqnk3T59iIGBB3nUUSE9xAj4FGfradI1AX58Hnx/7bpNcxBhyDuG4Pa6I/8ouAxCvngXMXgYJifViah5u+sG6LAP2rLYeW1fX1X+MGLbF4+h6HiQkmNBJq4NsYMz8ahL8Oe/PqwkrVEZnyufR4dGrVX6t6NG+q3o1pjk9eiLFwb4mMVc9Lv1stHqrgMYDMIRIXMYTS6GGU1sQYIHPXUWrdSH84Urt3pJhgQiOh714zYfxAOWLxJCJSB48B5OgYA+SIzG33jhQTdtjBTEREREREZBomNEREREREJC0mNEREREREJC0mNEREREREJC0WBbATzm5AxI3lv6X+9xCR4x4DBB4HyByMAXJEKrZ7I2KCCY0d1Ut3sXB1cyKSH48B5OgYA+SI2O6tg0POiIiIiIhIWkxoiIiIiIhIWkxoiIiIiIhIWkxoiIiIiIhIWkxoiIiIiIhIWkxoiIiIiIhIWkxoiIiIiIhIWkxoiIiIiIhIWkxoiIiIiIhIWkxoiIiIiIhIWkxoiIiIiIhIWkxoiIiIiIhIWkxoiIiIiIhIWkxoiIiIiIhIWkxoiIiIiIhIWkxoiIiIiIhIWkxoiIiIiIhIWq5G7wDpSkuBkkIow9kNcHIyei9IJowBcjSqtfmaMCaoIsYAWQsTGjshAjpyEZQRMR1wcTd6L0gmjAFyNKq1+ZowJqgixgBZC4ecERERERGRtJjQEBERERGRtJjQEBERERGRtJjQEBERERGRtJjQEDlQNRnxKPueyBExBsjRFZew/ZN6WOWMSFFFxcDhRCDuPHA2HUjMAAqK9Ocu5QH/70cgpCEQEgB0DgEa+xm9x0TWVVIKHEsGTpwDzqYBCRlAbsG1GHh1pd7+xaNDMNCiodF7TGRdInGJTwWOJgEJ6cCZdCA779rzl3KBjzYCzQOAdk2BsMYsK0xyYkJDpJiLl4Ftx4GdJ68/cVWUnqM/Dp0B1kQBbZsAA9oCnZvzhEZyu1wA7IoFtp8A0rKrfp24mItJ1B+/RuuJjYiBHqGAq4st95jIugqLgT1xwPbjQFJm1a8THTXHUvTHxiNAUD2gf1ugz02Ap5st95iodpjQKO7Qyc144eOI637n6e6D5kFtMaT7ZNzX/xm4uLAZqHInbtdJ4Mf9QP6VnhhzHE/RHyKxeaA3EOALJTAGHItITr7bDVzMNf+9oidz2S5gyzFgYl8guAGUwBhwLKdTgW93Aucumf/eC1n6OWTLn8CEPvr5QAWMAfXxr+cgIrpNQK/w4ShFKTKyUrBh/1f4ePXzOHP+KJ4bs9To3aNayskH/rMd+DO59p8lkpp5a4GxvYCeraAMxoD6d6S/36Pfla6tpAzgnV+A4V2B2zuo02PJGFB/iOWvfwAbYmo/RyYjB/hwo95jOaoH4KLIjGvGgLqY0DiIsODuGNJj0tWfR/Z7Co/OD8cvez7BI3f9E/6+QYbuH1kuK1c/8SRftN5nih6er3cA2fnAbeFQAmNAXWJu2Cdb9GTcmheHYiim6OkZ3UONpIYxoC7RXv+7yzoJfXli+HLmZeDhAWoMw2QMqEuRnJvM5eXug/CWfVBaWoqktJNG7w5ZSExw/ijSuslMeWLowc5YKIkxoE7Fps9+t24yU97WY8DqKCiJMaAG0Rvzw17rJzNlDicA/9mhJ02qYQyogwmNA0u+Erx+3gFG7wpZaOU+fXhMXVqxt+63YRTGgPx+i7HOUMvqbDqiz81REWNAfgdO6wUw6pIoHiOSexUxBtTAIWcOIq/wMi7mpGp3IcS40dU7P0Zs4kGEh/TSJsWRfMRds72nzHvP83cBfl56daeFv5p+B/zbXcBzd8o9jpoxoB6RaK8/XPcxICzfDbw4AvD2gLQYA+oR7Vj0zpjLkjgQQzA7NAOCJC7xzxhQl0MkNKmpqZg/fz5WrlyJhIQEBAUFYfTo0Zg7dy6mT5+Ozz77DO+//z6mTZsGVX21/jXtUd6ATqPxzKgP4AhEV7lYhyIrTx8LH+gLNK4PqdeYEROgzSVOYP7e5r9PrF8g7s7d1h7ScvQYEMNSkjP1yb5i5IhoB6KKl6xzQ8S/RyQZIuG2RQyIC7+1h/RiGbJy9BgQLlzSK3mJc4KvJ9AiAHCW+EbN/w7oZcrNZUkciMIbosf+ydshLcaAupRPaKKiojBs2DCkpKTAx8cHHTp0QFJSEhYtWoSTJ08iPT1de123bt2gshG9p+LWLmNRVFKIU8nRWL55HlIvJsDdzRMqyyvU54CI7vjUrOufax2k19u/uSXgLNlFXdQZy8rS1sbW48Ct7eQ9+TtqDIjkV/TkiRgQiWl5Tf2BAWFAr5sAN8km/J5O0x+2JOYojOgGeLtDSo4aAyL5PXRWX5NFLLJaXoAP0C8M6NdGvt43cQ44eNq22xTr1aRcBJpIekPQUWPAEUh6aWJ6z8zIkSO1ZGbmzJlITk7GgQMHtJ/nzZuHtWvXYu/evXByckKXLl2gsuDAMHRvOwS9wodhfMRsvPHIahxL2Iv3fngCqhJ3ov+1Tr+DVTGZEeIu6KWOv9yq33mSiag8Y2tigcKjdTxXoS45YgyIohFLIvWejIrJjCB6bL7fC3z4m176WyZGxIA4Tuyto4nXtuCIMSB68L7ZAXyx9cZkRhCLC4uhVO+uq/w8Yc/E4rFGTNQXiaGsHDEGHIXSCY0YTiaGmImhZAsWLEC9evWuPjd79mx07doVRUVFCA0NhZ+fxINCLdAxtJ+2mNTmQ8sRE78DqrmcD3y8Sb+TVBNx504sQiZLBRdx0o1PNWbbMl/MOVoMiJ4ZUf2rsou4ik6lAp9sliexF/sZZeM702XMnbdmz1SPAdEz890eYF98za8Vw9DEOSM7D9LYZ1BbFP+fspwvHT0GHImyCc3Ro0exfPlyBAYG4s0336z0NT169NC+isSmzIoVK3D//fejZcuW8Pb2Rnh4OF5++WVkZ2dDNROHvAJnZxd8ue5VqGbzn+atkiy67U/UUdlXa7P1MJuKK6mrROUYEJWPTElmyic1uyWpWip6lorMnDtjzUIEsiR+jh4D8Wa26dRsvWqeLDftRBJmVM+vbL1ZjhoDjkTZhGbZsmUoKSnBxIkT4evrW+lrvLy8bkhoRE+Oi4uLVjDgl19+wZNPPomPPvoId911l/Z5KgkObIOIrg/gYOxGRMdthUp3pi1ZO8WIISyWEMUNjCKGnck2NMkRY8DS9iyGktR2hXHVY0DcmVapjDlj4MZ5UmKhVntn9M0lI2PQ2lSOAUeibEKzadMm7WtERESVrxHD0SomNKtXr8Z3332nJUKDBg3Cs88+i8WLF2P79u3Ytm0bVDPh9pfh7OSML9erc2fiWLJezcxchxPluFg3ZRidytu3NhVj4NxF4IwFFxxigdbK5trYG6PboNHbtzYVYyC/SC+eYi5RMUyUxLd3RrdBo7dvbSrGgKNxKhXFuBUUEhKiJSwHDx6stIKZmDvTtGlTrXCAqHbWunXrKj/r+PHjaNeuHb799ltMmDDB7H3p2bOnVoigOu6uXlg6rY5XxrKhqYvDUFBk4zJcV7TuMxndR1U+zLAm6xfejkvn7Hv1sNue+AGBrXpXu7ZAVfw89SplorPxUg1JX1XrE2z7bDJSjkXC2hgD1tMobCBufWyZRe/d8eWjSDqyDvas59h3ENpzvGExcPB/r+Dkjs9RW6q1eXuKCe8GIRj+4k6L3vvH2jdw/PclsGfhEc+g011zLIoBc+Kgqhg4se1THFp9ffljSzAGqLwmTZpg3759sISyZZtzcnK0r7m5lTccMb9GJDOiUECrVq2q/azISP3irX17yxbhEMlMYmL1y0x7ulmwMIIdS05K0hawMkJAZqbF7z13LgXpNfytjJafn1/rtQXEicyStTiECxfO19ieLcEYsB5n/wsWvzctLbVO/r7W1P7K8d2oGMjMzLDK/5Fqbd6eYqJevuWXN5mZmXYfA80uXbTKGjOWxkF2dhZjQLLzgupcVc7yMjIytDLNffv2ve45Ub551qxZ2veiXLMo21wVEbCvvPKKNofG0rVqxL6YcpdCJU2bNTPsLoQ7qr7YqU5JcRH8vJzgFRwMe+biVFzt3bTqmHt3ujIN/HxQXAf/R4wB6/F21VfaEx3w1R3fyit7rZdLPoLtPAbcqzlz2SIGfL3drfJ/pFqbt6eYcHFzQ3FRPlxcPSw6h9h7DHh7uFocA+b20FTG092ZMSDZeUEGplwvO9yQM1Gy+f3339eGnv32229o27at9nux7szkyZMRFxeHwsJCPP3009ocmcqIyma33Xab1sMi3ieGqNWV4gIgchGUETEdcHE3bt2Bv6+q+WKloi4hwF9vhd0T6+pEHrXsva+P0u/GZV4GXl9l2Wf8cwzgUwcL0DEGrEusq3HazPLezfyBWcMBE3Mgw4hFQr/fY1wMiCE9LRqi1lRr8/YWE1/vML+0sVg0VbSR6pJme3A8Bfhwo+Xvr20cTO4P9AhFrTEGyFqULQog1plp2LAhzp49i44dO6Jz584ICwtDr169tPkygwcPvqEgQHliqJpYlPPUqVNYv359nSYzZF0uzkDfMPPfN0DPee1e8wDjtt3Qt26SGbK+ARbEQP+29p/MCCEGxoCzE9DU37jtU90e03vfZP/JjNC8gePGIJFDJTTNmzfH1q1bMWLECHh6eiI+Ph4BAQFYsmQJ1q5dq030ryqhET03Y8aM0SYmidLNHTp0MOBfQLVxWzjQtL7prxd3msIaQwotrXBn2FLWuCtNttE9FGhnxn2YmxoBvauujWJXRE+Sm4sx2w5uYNy2yfxjZd82pr8+qB4wpCOk4O2h768h23YHAg3aNpHDJTRlk/jXrFmDrKws7bF7925MnTpVKxggEhxnZ2d06tTpuveUrV2zceNG/O9//9N6dEg+Xu7AE4P1C5+a3NwSmNBHjjvTgjiRtAoyZtu3VF8/g+ysp/KRgUC7JqYlM4/eCrhKcqEu9rNbS2O2fYskSR/px/QxtwC9TPibNfIDnhwsVw+0UW2xZyu9p5LInkjQsWp9MTEx2gRYMa/G2/v6ChtiTs3333+PF198UXtu165dV5+76aabEBRk0JUkma2+N/DsHcDuOH2BtfOXrn9e9MiIITZi7oxsB2cxnOiU5YWsLB5uFt7Mttuk2vF0A6ZGAPvj9UUzT6fdOHxRDMvpGSpPMlM+BvbG2Xab7i5M6mVM7MUNq87NgW0n9HXKKt4g6h8G9LlJvxEmE7HP66L1eaO2JP6/iOyNQyY00dHRVQ43E0PMhLfeekt7lPf555/j4YcfttFekjV4uAG3tgMGtgUSMoCPNuoLp/l6AE8PgbS6tgBWR+kTOm1F/D/KlviRfkEn7lCLh1gMb9H6azEw8y55eiYrahkItAoETplZ+KA2ekt40Ut6G+8coj/SsoF3ftFjQPTG/N9IeY9rojxz95bAXjMLH9RGeFOgsRnDuYlshQlNBWIomr04mXQI766Ygsv5WWjs3xJzJvwH/r5BGDrLCaFNOuGx4fPQu/1wFBTm4Z/fPIDT547Aw80L/r6NMH30RwgO1AcPv/BxBOKSDmHS0FcxeuCMWu3T73+swO6ja5Gdm1Hl9uz1hCYmMZaNfRcXeTITd9PH9QKWbrbd3BkjiiaYGgNCQVE+lqyeiX3H18Hd1RM3Ne2KFx/8WnuOMaBrUv/6GJA1mSkzrjew4Bfb3KEWFaGGV15DxrA2/8GP07HzyE84l3EaH804iDbB15YWSLhwAm8vfwgXc1Lh41kfs8Z/gdAm+gQRR44H0dNcFgOuzvImM2Xu6Q4cSQJyql6ezGpEsQQxhM8WrBUHZX7d+zne+e6veP2hVejf6T44ehyoSPLLOusnNPbk7eUPY8b9S/HZrKMY1HUclq554epz7z619WowC8N7T8Xns49hyfOH0LfjvVj4/WNXn1vwRCT6dLjHKvu0/fAq9O94X7XbI9voEGza2PCKawqIXh1T1ikoIy58H+xrTBJoTgx8+vOL2joqX8w+jn/PjMbUuxdcfY4xoCZRbeyuznUfA8L43rbpnTGnzQ/sMgbvPrUNjRvcOKHovR8e19roF3OOY3zEHO1zyzAe1FHPExhrQZJhSRyM7Ga7YgDWigMhJT0ev+z+N9q36HPd7xkHanHIHppNmzbB3sUmHoSXh+/VOw1Dez6EJWtmorBIXzCvPHc3z+uCWwTtii3XLuZMlZ2biSnvdEJ+YS6C6oegsDgfKWlxuL3HZMwc+wmKigsRE79du9Pn6uJW6+1R7Y3uCSRlAgnppr1+4a/mb0P0BIk7+/YcA7kFOfh1z6f49m8JVxeSDPAzf4EuxoB8BncA4lOBmMS6i4GhHYH2zeyrzQtdWle+cFZG9nkcT9iHt6as134e2Pl+LF41DYmpsWbdLWY8yEEUyBh4Adh6zPT3mBsHoniOmHNqC9aKg7JCTyKpePq+97UefEswDuTgkAmNDJLTT+FUcjQeX3it6zS/4DJSL9V81l617T3tzoC5fL38Mbjbg/DyqIdJQ1/B3mPrsGzTXC1ghajYSHRo2e+6gK3N9sg6k76fiAA+3AQkZVj/8+/vqc8bsPcYSE49iXreAVp7PXDiN627f/LQ19E97HaztskYkI/oOXxoAPDZ78CfFSZ8W8OgcNsMNavtcb+8C5lnEeDXFC4u+ileJPmNGrTA+cwzZiU0jAd5jOoBFBUDO2Ot/9micM6kfrYbnmetOBB++H0hOob2R9vmPSzeH8aBHJjQ2LHwFr3x1pR1V38e83rNFda+3TgXSamxmP+4ZUsIxyZFYdSA6dr3JxL2o02zm68+tyPmR/TvNMqq26Pa8/UEpg0Bvtlh+l1qUxIl0TMj1jKRIQaKS4q08dMtG3XAY8Pf0u7wzVk6FJ+8EIMG9cxbYIgxIB8xtv+xQcAP+6x3QScSpRFdgYj2tp1rZMlxvy4xHuQgkg1xzBbVPddHAyWl1isGc2932w85tkYcnEo5jK3RP2DhU7/Xen8YB/bPIefQyKBpQGvtblqZnLxLyCvIQaBfcJXv+X7zAmw7vBJzH/sFnu7Xl6M2VVxSFNoE33wtaK98L8pc7zu2Dr3Ch1l1e2S9hc7EBZ2Y61Lbcf6iis2LdxufzJgTA+Lus7OTMwZ3n6j9LNptk4BW2l0+czEG5C2UIea5PB6hT+CvDVFA5IVh+nA2WyYzlhz3KxPkH4L0S8koLi662nbPZ5xBI/8WZu8T40Eeoq2KOWXP3WnewtJVFU8QN8rEsGZbJzPWioPDcVtxLiMeD88Lw6S5oTh6Zhf+tWIqVu/4yOx9YhzYPyY0dkqMHXV1dsP+4xu0n1fv+BCDuo6Hm2vlV6srtixEZNQyzJuyQeserc68ZX/BtuhVN/w+9WKidkQMrK8fNOJS/kCrJvqM2z/P7kGLxu21ca3mbo9sdzITRQL+7279pFbfy4z3ivG+zYApg6xzQWjrGKjvE4hubW7XTixlQxZS0k9pbbYyjAF1iXYsEvL7epi/krooAy2G1swQF4T+9n/cr0oD30ZoE9wdvx3Qq/yJu9SB/s2rHG7GeFBLSENg5jB9/R2RnJtDzJcUlcxmjwDamNe5bXdxMLLfk1j+ajK+/r947SHmtMwYs1T7fWUYB3LjkDM79tKD3+Dt7x7BopVPolnDNldL0FZ0ITNBmzAn7mqIMoSCu6sH3p++u9LXi8mi913pOi1PDNMp343q6+mPn3Z+qI0TFRU8+nW8z6LtkW3V8wLu6gIM7QQcSQTiLuhFA8Q6PLkF14YniDtw4mQnTn5i0TlbVa+pixgQZtz/Md75/lF88vMcrbdmxv1Lrp6AKmIMqE0MmbwtXB8uE3sOOJECnL0SA9l515J4f58rMRCgJ0JioVGZ2vy/VjyO3X+uRXpWCl765E54e9TDly/qY+5E+xeVosRYf29PP8wa93mVn8N4ULPHUsx/FI8zacDRpCsxkA5cvAyUjUjz89TbvXi0awK0bmQf5dytFQfmYBzIjQmNHWvVtDM+fHZfja8L8m+ODW+bNmA2M/uCdpHXLqTnDc/16XC39ijzwbN7r36/68hqvP1EpNnbI+OIYQJli8mVEeOqS0vlWYfH1BgQmjZsrZXhrAljwHGIxL1tE/1RRrR/EQfiOXu4cKtNm58xZkmVz4U0aodFz+ys8TMYD+oT64iJhywxYM04KO+dJ6teuI1xID9JLmuovAa+jTHzo0HYffRnk14v7hREx22Bp7uPtjDVvKl6N645tMnVvo0s2FuyJ+IEJksyUx3GAFlKXMDJuKiouW2+OowHxyZrDAiMA6oKe2gk9N1rKWa93pS71kQyYQyQozG3zVeH8UCyYhxQVRS4V0tERERERI6KCQ0REREREUmLCQ0REREREUmLc2jshLMbEHFjtUCp/z1E5mAMkKNRrc3XhDFBFTEGyFqY0NhT1ZFarvBOJDPGADkatnlydIwBshYOOSMiIiIiImkxoSEiIiIiImkxoSEiIiIiImkxoSEiIiIiImkxoSEiIiIiImkxoSEiIiIiImkxoSEiIiIiImkxoSEiIiIiImkxoSEiIiIiImkxoSEiIiIiImkxoSEiIiIiImkxoSEiIiIiImkxoSEiIiIiImkxoSEiIiIiImkxoSEiIiIiImkxoSEiIiIiImkxoSEiIiIiImm5Gr0DpCstBUoKoQxnN8DJyei9kAvbADka1dp8TRgTVBFjgMg6mNDYCXFAi1wEZURMB1zcjd4LubANkKNRrc3XhDFBFTEGiKyDQ86IiIiIiEhaTGiIiIiIiEhaTGiIiIiIiEhaTGiIiIiIiEhaTGiIiIiIiEharHJGSrucDyRkAGfTgPNZwOUC/fe5BcC240DzAKCZP+DOSCBF5RcCiSIG0oGUi9diQHzdfBQICQCCAwBPN6P3lKhuFBUDSZl6DCRlXB8Dv8XoMSDOBT4eRu8pEVmKl3GknJIS4GiynrD8mQSUVvKagmJgxV79ezcXoEco0L+tfmIjUmFti1MX9Bg4dBYoLrnxNYXFwI8H9O+dnYDOIcCAMKBNY64TQWoQycu2E8C+U0BBUeUxsCbq2s/tmujngY7BgAvHrxBJhQmN4g6d3IwXPo647nee7j5oHtQWQ7pPxn39n4GLizrN4Fgy8P0eIDXb9PeIk9quk/ojrDEwrjcQVA/KcLQ24OgS0oHlu/W70aYqKQUOndEfosfygT5Ai4ZQBmPAsaRnA9/tAf5MNu99x1L0RwMfYOwtQIdgKIMxQKpj63UQEd0moFf4cJSiFBlZKdiw/yt8vPp5nDl/FM+NWQrZ5RUCPx0AdsTW7nNOnAPmrwXu7gYMbKffuVaF6m3A0YlemPWHgQ2H9QTFUmJozrvrgMHtgWFdAFcXKIMxoH7PpDgHiHNBfiU9MqbKyAGWbgZ6tQbu6wF4K7QQJGOAVMWExkGEBXfHkB6Trv48st9TeHR+OH7Z8wkeueuf8PcNgqyy8oCPN+nzBKxB9Nis2q/Pu5nQV52hByq3AUcnhtN89rv5d6SruzDceAQ4nQY8Nkid+TWMAbWHGn+/F9hZy5ta5e2JA86kAU8MBvy9oQTGAKlKkUs1MpeXuw/CW/ZBaWkpktJOQlY5+cAHv1kvmSlvXzzw9Q79RKkiVdqAoxMTnj/ZYr1kprzYc8CSyMrnH6iAMaAGkYAv32PdZKaMKKSx+DcgKxdKYgyQKpjQOLDkKwcvP285Z8KLYTVfbNVPOHXl4Gng12goS/Y2QHpxi+Mpdff5orjAsl1QFmNAfqI3cXcdXounZuk3DSorrqECxgCpgEPOHERe4WVczEnV7sKIcbOrd36M2MSDCA/ppU0KlNH24/qcF3M8fxfg5wVcygUW/mrae0RZz07N5Z8krWIbcHRHEvViFnUdAyKx79YC6NoCUmMMqCc5E/jlj7qPATH8MvIoMKQjpMYYIFU5REKTmpqK+fPnY+XKlUhISEBQUBBGjx6NuXPnYvr06fjss8/w/vvvY9q0aVDVV+tf0x7lDeg0Gs+M+gAySssGVh80/33iJGbuWGjRE7RsJzBzmNwTpFVrA45OFMIQ1cxsEQOCqB4oSjrLvFYHY0AtYjjwtzvN7zmxNAZE4iRubjWpD2kxBkhVyic0UVFRGDZsGFJSUuDj44MOHTogKSkJixYtwsmTJ5Gertc27datG1Q2ovdU3NplLIpKCnEqORrLN89D6sUEuLt5QkaRR/S1ZGwl+SLwx1mgeyikpVobcHSiZ+aiDcf1Z+cD208Ad3SCtBgDajmaZF558toSidOmI8CDfSEtxgCpyln1npmRI0dqyczMmTORnJyMAwcOaD/PmzcPa9euxd69e+Hk5IQuXbpAZcGBYejedgh6hQ/D+IjZeOOR1TiWsBfv/fAEZLwzvfeU7bcrLuZkplIbcHSi11AMubS1HSfknkfAGFCLWDTT1sTwS1GMRlaMAVKV0gmNGE4mhpiJoWQLFixAvXrXVkucPXs2unbtiqKiIoSGhsLPzw+OpGNoP20xrc2HliMmfgdkciC+dmsMWOrk+botQGBrMrcBRyeqj13Isv12My/rd8VVwRiQlxh2/KcBbVGU9RflnFXBGCBVKJvQHD16FMuXL0dgYCDefPPNSl/To0cP7atIbMps3boVQ4YMQdOmTeHh4YHmzZtj/Pjx2uepZuKQV+Ds7IIv170KmZhbCMDaF5IqkbUNODoj26GR8VcXGANyEjeYarF+bK3wPEBkf5RNaJYtW4aSkhJMnDgRvr6+lb7Gy8vrhoQmIyMDnTt31ubYrF+/XhuaFhMTg759+2q9PSoJDmyDiK4P4GDsRkTHbYUsEtIdc9t1QdY24OhsOW+gIsYA2QPGgPUwBkgFyiY0mzZt0r5GRERU+ZqyBKV8QnPPPffg3XffxdixYzFo0CAtIRLV0S5evIgffvgBqplw+8twdnLGl+tflWb+jBFDbezhJFpXZGsDZHxSLxYyVAljQD6JBsaAKMYhSj6rhDFAsnMqFcXIFRQSEqIlLAcPHqy0gpmYOyOGlYnCAaLaWevWrav8rLS0NG3o2uLFi/H000+bvS89e/bUChFUx93VC0unST7rvJypi8NQUGT9I753gxAMf3FnjesLVMXPE3B21st9Xsqr+nVVrU9wOTMJP7/ZC3WBbYBMdf+bp+Hk7GJIDAgr/681SooLUFuqtfmaMCas546Zm+HXqE2dxkB1cbB+4e24dO4YaosxQHRNkyZNsG/fPlhC2bLNOTk52tfc3MoDR8yvEcmMKBTQqlWrG54vLi7WhqydPn0aL730kvafPG7cOIv2RSQziYmJ1b7G082Covh2LDkpSVvAy9r8i72tsr6AOJlZsg4BnFxq/Ftaim2ATOLkVGUyY5MYEMe08xdQmJeN2lKtzdeEMWE9JaVOhsZAalo6LljhXMAYILIOZRMakYCI+TCiTLOY/1KeKN88a9Ys7XtRrlmUba5IDDfbvn279n2bNm20IWxiQU5L98WUuzQqadqsWd300Pg3qPb5moYBmHN3ujKlJYUIDg5GXWAbIFOVFBXA2dXdkBgQGgc1RGlJ7VcXVK3N14QxYT3OqHohMmvFQHWf1TDAH+5FtT8XMAaIzLtedrghZ6Jk8/vvv68NPfvtt9/Qtm1b7fdi3ZnJkycjLi4OhYWF2hAyMZSsomPHjiEzMxOnTp3C22+/jfPnz2sJTosWLepkf8XojchFUEbEdMCl8uutWikqBuZ8Z/laGK+P0u/IifKzr68y//2tg4Dpd6BOsA2Qqf7xPyA125gYEBeD/+9+WIVqbb4mjAnr+XgT8GeyMTEgboG+OU70rqDWGANE1qFsUQCxzkzDhg1x9uxZdOzYUatcFhYWhl69emnzZQYPHnxDQYDy2rVrh969e+OBBx7Axo0bkZWVhfnz59v4X0EVuboATf2N235IQ+O2TVSmeYBjbpuoTIiB7TDIzzrJDBFZj7IJjVg/RqwpM2LECHh6eiI+Ph4BAQFYsmQJ1q5di+PHj1eb0JTn7++vDTuLjY21wZ6TPZ/IjNw2kV3EAJN6sgNGJtY8DxDZH2Xn0Ajt27fHmjVrbvh9dna2luA4OzujU6dONX6OGG4mhqCJHhsyXsdgYKcBuaWLM9Cuqe23S1RRx+bA6iiDtl03U8iIzBLWBHBzAQqrnkpTZzowBojsjtIJTVXEQpli6pCYV+PtfX2FkUmTJmm9MaLUs+iZOXHihLYujaurK5577jnD9pmu6dAMaOANZNi4UErXEKCep223SVSZJvWBNo1tv2J5i4b6g8ho3u5Aj1Bg10nbbtfXUz8XEJF9UXbIWXWio6OrHG7Wp08f/Pzzz3jkkUcwbNgwrSDAwIEDERUVpSU6ZDxRnaZfmO2321+vK0FkFwYYEQMGbJOoKgMMOCb3vUmfy0lE9sUhe2iqS2imTZumPezByaRDeHfFFFzOz0Jj/5aYM+E/8PcNwtBZTght0gmPDZ+H3u2Ha6+ds/QOZGSlwMnJGd6e9fD0vYvQJvhm7bkXPo5AXNIhTBr6KkYPnFGrffr9jxXYfXQtsnMzcPrcEXi4ecHftxGmj/4IwYG2S/gGtgN2xAIZ+nJDda5LiF7hzB7//pdy0jBrye1X35dfeBnJ6XH4/rXz8PMOUPLvT3qbbBUEnLpguzkLPW9cssvQ494HP07HziM/4VzGaXw04yDaBF9bRLm65xgTatDaZCiwL94226vvBUS0lycGJs0NhZurx9XS0BMGv4Tbuo3XvmcMkGqY0Nixt5c/jBfGfa4doH7d8xmWrnkBsx/4Unvu3ae2wtfrWrmvVyZ/d/XnbdGrtPcuef6Q9vOCJyIx/78PW2Wfth9ehUFdxsHFxQ29wodpa/j8uH0xFn7/GN55cjNsRVSYmdAH+HCjbYY2jL1FW8/QLv/+fj4NseT5axMqvt+8AH/EbdGSGVX//qT3VIoYePvnup9HIOaPPdhH/2pPx72BXcZg3G2z8dyHA274nOqeY0yoY1RP4HhKzevJWMO43oC3hzwxILw8cfl1SU4ZxgCpxiETGrFIpr2LTTwILw/fqweioT0fwpI1M1FYVFDp68sf4HLyLl6plG+e7NxMTHmnE/ILcxFUPwSFxflISYvD7T0mY+bYT1BUXIiY+O2YNf4LuLpcq1nZvkUfrNiyALbWtgkwKBzY8qfp7ylbJK2mhdcqnsTqedn337+8X/Z+ikeHvan835+ARn7Avd2BFXvrNgaGdwGaVb+mrSHtvkvrW6v8rOqeMxVjwv75eAAP9AH+vQUwdVU9S2KgbxvbFMSwZgxYA2OAZOGQCY0MktNP4VRyNB5feO3OSn7BZaReSqzyPfOW/QWHTkZq3//z0Z/N3qZIigZ3exBeHvUwaegr2HtsHZZtmqsdtISo2Eh0aNnvuoOWsGrbe+jb8V4Y4d6bgew8YL+JQw4W/mre59/fE+hWN2upWv3vL8TE70D25Qz0aX+3Q/z9SZ9HIC7M1h+umxgQNw0Gd4Bdt/u6wpiQg6g69kBv4L+7gNI6iAExvHPMLZAyBub/9y8oRSnCQ3rh0eFvaUPXzMEYIFkwobFj4S16460p667+POb16g9EcyZ8pX1dv+9L/PvnOZhrQVITmxSFUQOma9+fSNiPNs30eTjCjpgf0b/TqOte/+3GuUhKjcX8x20w9quKYTcT+wLurtYt5ezsBIztpd+Vk+XvL/y651MM7fEXuLhYFtqy/f1JN6yLXsJ2rT7K1Gru6KR/ti2HW1rS7usSY0IOvcVkfWfg211AcYn1PlfMG5tgo+GW1o6BhU/+jkYNWmi9KJ//+jfMX/6QQ1wXkGNyyCpnMmga0BrnM89c/Tkn7xLyCnIQ6Fdzn/cdPR/CodhIbbK4ueKSoq4WE9AOXFe+F2Wu9x1bp42PLT9XY9vhlZj72C/wdL++/LWtk5rxvYGHB+jDD2qrmT/w/F3GJjOW/P1z87Ox5Y/vcGevv1q8XRn//qQnHEM7AdOGAA19a/95/t7Ak4OB4V1tm8zU5rhXVxgT8ujRCnhhmHUWvvRy12+WiYctkxlrxoBIZgTReyIm/h8+tdWifWIMkAyY0NgpMX7W1dkN+49v0H5eveNDDOo6Hm6u7pWOcU29mHT15+2Hf9Qmite7Mim8sqFponBARakXE7Wrl8D6+oEzLuUPtGrSWfv+z7N70KJxe21sr7Biy0JERi3DvCkbrpu/Y6RuLYEX7wb63KTfrbZkfQExV0AkM0auQm3u37/M5kPL0bppV7RoFF7tZ6v69yd9bZrZI/QhYqJwhrk8XPUhZiKOjFhE1pJ2bw2MCXU09Qdm3AncczPgZ8HcR5G83NJKj4FbWtu+GIy1YiC3IEe7NigTeXDZdT0rFTEGSHYccmbHXnrwG7z93SNYtPJJNGvYBi8++HWlrxNFAN74z1ht0p6zkzPq+wThjUfWaJVGKnM8YR/uu9J9XHEyYvkDnq+nP37a+aE2VlZUMenX8T7t9xcyE7RJiuJOkij9KLi7euD96bthNLHwpZggOvJmYE8ccCAeSMqsegiCuIBrGagPVxCLpdnT+gKm/v3LDzcb1ntKjZ+r8t+f9DYtLubu7AwcjNfj4Gx61ZXQRPIf3EC/iBN3uC1JhIxq9/9a8Th2/7kW6VkpeOmTO+HtUQ9fvhhb43MVMSbUIpISkdSL5Dw6AdgVC8SnAnmFVQ8xFonQzS31G2Li5pbsMZCZdQ5//+p+lJQUa3NoRNuc/YA+LL0yjAGSHRMaO9aqaWd8+Oy+Gl/XuEFLLJ6+x6TPzMy+oN1paRfS84bn+nS4W3uU+eDZa6WTdh1Zjbef0AsOBPk3x4a3TSwnYxAx9EysFyAeRcV6UnP+kn5RJ9I8cdHWtAEQVE8/mcn89y/z3rQdNb7GUf7+pCc2fdroD5HQi/afnAkUFOkTp91d9Iu4xvVtO6TGmu1+xpglFj1XHmNCXaJdi6Iu4lFSCqRlAYmZemIjKqKJZF6cA0QFP0t69e05Bpo2bI2Pnzto0mcwBkgFdnQaI1M18G2MmR8Nwu6jpk3uE3dLouO2wNPdR6twMm+q3pVtjk9eiEED30aQkeh1adFQn9zZ98oFnhie1tjPfpOZ6vDvT5Zc2InkpXuo3v5FHIjeGHEhZ0/JjDXbfXUYE45HHOuD/PTkRvTCiBgQ5wTRQ29PyUx1GANEVXMqFbO6yHDFBUDkIigjYjrgUrfD3pXDNkCORrU2XxPGBFXEGCCyDknuzREREREREd2ICQ0REREREUmLCQ0REREREUmLc2jshPgrlFRRUlJGzm62r98vO7YBcjSqtfmaMCaoIsYAkXUwoSEiIiIiImlxyBkREREREUmLCQ0REREREUmLCQ0REREREUmLCQ0REREREUmLCQ0REREREUmLCQ0REREREUmLCQ0REREREUmLCQ0REREREUmLCQ0REREREUmLCQ0REREREUmLCQ0REREREUmLCQ0REREREUmLCQ0REREREUmLCQ0REREREUmLCQ0REREREUmLCQ0REREREUmLCQ0REREREUmLCQ0REREREUmLCQ0REREREUmLCQ0REREREUmLCQ0REREREUmLCQ0REREREUmLCQ0REREREUmLCQ0REREREUmLCQ0REREREUFW/x+f8f3XrsSX9QAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1040x367.889 with 1 Axes>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from qiskit.circuit.library import real_amplitudes\n",
    "\n",
    "ansatz = real_amplitudes(num_qubits=num_features, reps=3)\n",
    "ansatz.decompose().draw(output=\"mpl\", style=\"clifford\", fold=20)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "comic-bumper",
   "metadata": {},
   "source": [
    "This circuit has 16 parameters named `θ[0], ..., θ[15]`. These are the trainable weights of the classifier.\n",
    "\n",
    "We then choose an optimization algorithm to use in the training process. This step is similar to what you may find in classical deep learning frameworks. To make the training process faster, we choose a gradient-free optimizer. You may explore other optimizers available in Qiskit."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "intimate-doubt",
   "metadata": {},
   "outputs": [],
   "source": [
    "from qiskit_machine_learning.optimizers import COBYLA\n",
    "\n",
    "optimizer = COBYLA(maxiter=100)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "integral-compound",
   "metadata": {},
   "source": [
    "In the next step, we define where to train our classifier. We can train on a simulator or a real quantum computer. Here, we will use a simulator. We create an instance of the `Sampler` primitive from `StatevectorSampler` instance from `qiskit.primitives`. This is the reference implementation that is statevector based. Using qiskit runtime services you can create a sampler that is backed by a quantum computer."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "unauthorized-footwear",
   "metadata": {},
   "outputs": [],
   "source": [
    "from qiskit.primitives import StatevectorSampler as Sampler\n",
    "\n",
    "sampler = Sampler()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "seeing-charles",
   "metadata": {},
   "source": [
    "We will add a callback function called `callback_graph`. `VQC` will call this function for each evaluation of the objective function with two parameters: the current weights and the value of the objective function at those weights. Our callback will append the value of the objective function to an array so we can plot the iteration versus the objective function value. The callback will update the plot at each iteration. Note that you can do whatever you want inside a callback function, so long as it has the two-parameter signature we mentioned above."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "connected-reach",
   "metadata": {},
   "outputs": [],
   "source": [
    "from matplotlib import pyplot as plt\n",
    "from IPython.display import clear_output\n",
    "\n",
    "objective_func_vals = []\n",
    "plt.rcParams[\"figure.figsize\"] = (12, 6)\n",
    "\n",
    "\n",
    "def callback_graph(weights, obj_func_eval):\n",
    "    clear_output(wait=True)\n",
    "    objective_func_vals.append(obj_func_eval)\n",
    "    plt.title(\"Objective function value against iteration\")\n",
    "    plt.xlabel(\"Iteration\")\n",
    "    plt.ylabel(\"Objective function value\")\n",
    "    plt.plot(range(len(objective_func_vals)), objective_func_vals)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "freelance-wesley",
   "metadata": {},
   "source": [
    "Now we are ready to construct the classifier and fit it. \n",
    "\n",
    "`VQC` stands for \"variational quantum classifier.\" It takes a feature map and an ansatz and constructs a quantum neural network automatically. In the simplest case it is enough to pass the number of qubits and a quantum instance to construct a valid classifier. You may omit the `sampler` parameter, in this case a `Sampler` instance will be created for you in the way we created it earlier. We created it manually for illustrative purposes only.\n",
    "\n",
    "Training may take some time. Please, be patient."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "multiple-garbage",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training time: 160 seconds\n"
     ]
    }
   ],
   "source": [
    "import time\n",
    "from qiskit_machine_learning.algorithms.classifiers import VQC\n",
    "\n",
    "vqc = VQC(\n",
    "    sampler=sampler,\n",
    "    feature_map=feature_map,\n",
    "    ansatz=ansatz,\n",
    "    optimizer=optimizer,\n",
    "    callback=callback_graph,\n",
    ")\n",
    "\n",
    "# clear objective value history\n",
    "objective_func_vals = []\n",
    "\n",
    "start = time.time()\n",
    "vqc.fit(train_features, train_labels)\n",
    "elapsed = time.time() - start\n",
    "\n",
    "print(f\"Training time: {round(elapsed)} seconds\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "laughing-regulation",
   "metadata": {},
   "source": [
    "Let's see how the quantum model performs on the real-life dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "formed-mineral",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Quantum VQC on the training dataset: 0.64\n",
      "Quantum VQC on the test dataset:     0.57\n"
     ]
    }
   ],
   "source": [
    "train_score_q4 = vqc.score(train_features, train_labels)\n",
    "test_score_q4 = vqc.score(test_features, test_labels)\n",
    "\n",
    "print(f\"Quantum VQC on the training dataset: {train_score_q4:.2f}\")\n",
    "print(f\"Quantum VQC on the test dataset:     {test_score_q4:.2f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "minimal-deviation",
   "metadata": {},
   "source": [
    "As we can see, the scores are high, and the model can be used to predict labels on unseen data.\n",
    "\n",
    "Now let's see what we can tune to get even better models.\n",
    "\n",
    "- The key components are the feature map and the ansatz. You can tweak parameters. In our case, you may change the `reps` parameter that specifies how repetitions of a gate pattern we add to the circuit. Larger values lead to more entanglement operations and more parameters. Thus, the model can be more flexible, but the higher number of parameters also adds complexity, and training such a model usually takes more time. Furthermore, we may end up overfitting the model. You can try the other feature maps and ansatzes available in the [Qiskit circuit library](https://quantum.cloud.ibm.com/docs/api/qiskit/circuit_library#n-local-circuits), or you can come up with custom circuits.\n",
    "- You may try other optimizers. Qiskit contains a bunch of them. Some of them are gradient-free, others not. If you choose a gradient-based optimizer, e.g., `L_BFGS_B`, expect the training time to increase. Additionally to the objective function, these optimizers must evaluate the gradient with respect to the training parameters, which leads to an increased number of circuit executions per iteration.\n",
    "- Another option is to randomly (or deterministically) sample `initial_point` and fit the model several times.\n",
    "\n",
    "But what if a dataset contains more features than a modern quantum computer can handle? Recall, in this example, we had the same number of qubits as the number of features in the dataset, but this may not always be the case.\n",
    "\n",
    "## 4. Reducing the Number of Features\n",
    "\n",
    "In this section, we reduce the number of features in our dataset and train our models again. We'll move through faster this time as the steps are the same except for the first, where we apply a PCA transformation. \n",
    "\n",
    "We transform our four features into two features only. This dimensionality reduction is for educational purposes only. As you saw in the previous section, we can train a quantum model using all four features from the dataset.\n",
    "\n",
    "Now, we can easily plot these two features on a single figure."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "painted-montreal",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.decomposition import PCA\n",
    "\n",
    "features = PCA(n_components=2).fit_transform(features)\n",
    "\n",
    "plt.rcParams[\"figure.figsize\"] = (6, 6)\n",
    "sns.scatterplot(x=features[:, 0], y=features[:, 1], hue=labels, palette=\"tab10\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "modular-hometown",
   "metadata": {},
   "source": [
    "As usual, we split the dataset first, then fit a classical model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "naval-agriculture",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Classical SVC on the training dataset: 0.97\n",
      "Classical SVC on the test dataset:     0.90\n"
     ]
    }
   ],
   "source": [
    "train_features, test_features, train_labels, test_labels = train_test_split(\n",
    "    features, labels, train_size=0.8, random_state=algorithm_globals.random_seed\n",
    ")\n",
    "\n",
    "svc.fit(train_features, train_labels)\n",
    "\n",
    "train_score_c2 = svc.score(train_features, train_labels)\n",
    "test_score_c2 = svc.score(test_features, test_labels)\n",
    "\n",
    "print(f\"Classical SVC on the training dataset: {train_score_c2:.2f}\")\n",
    "print(f\"Classical SVC on the test dataset:     {test_score_c2:.2f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "chemical-subcommittee",
   "metadata": {},
   "source": [
    "The results are still good but slightly worse compared to the initial version. Let's see how a quantum model deals with them. As we now have two qubits, we must recreate the feature map and ansatz."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "electric-novel",
   "metadata": {},
   "outputs": [],
   "source": [
    "num_features = features.shape[1]\n",
    "\n",
    "feature_map = zz_feature_map(feature_dimension=num_features, reps=1)\n",
    "ansatz = real_amplitudes(num_qubits=num_features, reps=3)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "competent-johnston",
   "metadata": {},
   "source": [
    "We also reduce the maximum number of iterations we run the optimization process for, as we expect it to converge faster because we now have fewer qubits."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "younger-louisiana",
   "metadata": {},
   "outputs": [],
   "source": [
    "optimizer = COBYLA(maxiter=40)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "proprietary-cookbook",
   "metadata": {},
   "source": [
    "Now we construct a quantum classifier from the new parameters and train it. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "varied-capital",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training time: 43 seconds\n"
     ]
    }
   ],
   "source": [
    "vqc = VQC(\n",
    "    sampler=sampler,\n",
    "    feature_map=feature_map,\n",
    "    ansatz=ansatz,\n",
    "    optimizer=optimizer,\n",
    "    callback=callback_graph,\n",
    ")\n",
    "\n",
    "# clear objective value history\n",
    "objective_func_vals = []\n",
    "\n",
    "# make the objective function plot look nicer.\n",
    "plt.rcParams[\"figure.figsize\"] = (12, 6)\n",
    "\n",
    "\n",
    "start = time.time()\n",
    "vqc.fit(train_features, train_labels)\n",
    "elapsed = time.time() - start\n",
    "\n",
    "print(f\"Training time: {round(elapsed)} seconds\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "developmental-crazy",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Quantum VQC on the training dataset using real_amplitudes: 0.53\n",
      "Quantum VQC on the test dataset using real_amplitudes:     0.43\n"
     ]
    }
   ],
   "source": [
    "train_score_q2_ra = vqc.score(train_features, train_labels)\n",
    "test_score_q2_ra = vqc.score(test_features, test_labels)\n",
    "\n",
    "print(f\"Quantum VQC on the training dataset using real_amplitudes: {train_score_q2_ra:.2f}\")\n",
    "print(f\"Quantum VQC on the test dataset using real_amplitudes:     {test_score_q2_ra:.2f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "quarterly-singing",
   "metadata": {},
   "source": [
    "Well, the scores are higher than a fair coin toss but could be better. The objective function is almost flat towards the end, meaning increasing the number of iterations won't help, and model performance will stay the same. Let's see what we can do with another ansatz."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "convinced-seven",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training time: 48 seconds\n"
     ]
    }
   ],
   "source": [
    "from qiskit.circuit.library import efficient_su2\n",
    "\n",
    "ansatz = efficient_su2(num_qubits=num_features, reps=3)\n",
    "optimizer = COBYLA(maxiter=40)\n",
    "\n",
    "vqc = VQC(\n",
    "    sampler=sampler,\n",
    "    feature_map=feature_map,\n",
    "    ansatz=ansatz,\n",
    "    optimizer=optimizer,\n",
    "    callback=callback_graph,\n",
    ")\n",
    "\n",
    "# clear objective value history\n",
    "objective_func_vals = []\n",
    "\n",
    "start = time.time()\n",
    "vqc.fit(train_features, train_labels)\n",
    "elapsed = time.time() - start\n",
    "\n",
    "print(f\"Training time: {round(elapsed)} seconds\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "painted-reverse",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Quantum VQC on the training dataset using efficient_su2: 0.65\n",
      "Quantum VQC on the test dataset using efficient_su2:     0.63\n"
     ]
    }
   ],
   "source": [
    "train_score_q2_eff = vqc.score(train_features, train_labels)\n",
    "test_score_q2_eff = vqc.score(test_features, test_labels)\n",
    "\n",
    "print(f\"Quantum VQC on the training dataset using efficient_su2: {train_score_q2_eff:.2f}\")\n",
    "print(f\"Quantum VQC on the test dataset using efficient_su2:     {test_score_q2_eff:.2f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "alike-norway",
   "metadata": {},
   "source": [
    "The scores are better than in the previous setup. Perhaps if we had used more iterations, we could do even better."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fluid-truck",
   "metadata": {},
   "source": [
    "## 5. Conclusion\n",
    "\n",
    "In this tutorial, we have built two classical and three quantum machine learning models. Let's print an overall table with our results."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "educated-snake",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model                            | Test Score | Train Score\n",
      "SVC, 4 features                  |       0.99 |       0.97\n",
      "VQC, 4 features, real_amplitudes |       0.64 |       0.57\n",
      "-----------------------------------------------------------\n",
      "SVC, 2 features                  |       0.97 |       0.90\n",
      "VQC, 2 features, real_amplitudes |       0.53 |       0.43\n",
      "VQC, 2 features, efficient_su2   |       0.65 |       0.63\n"
     ]
    }
   ],
   "source": [
    "print(f\"Model                            | Test Score | Train Score\")\n",
    "print(f\"SVC, 4 features                  | {train_score_c4:10.2f} | {test_score_c4:10.2f}\")\n",
    "print(f\"VQC, 4 features, real_amplitudes | {train_score_q4:10.2f} | {test_score_q4:10.2f}\")\n",
    "print(f\"-----------------------------------------------------------\")\n",
    "print(f\"SVC, 2 features                  | {train_score_c2:10.2f} | {test_score_c2:10.2f}\")\n",
    "print(f\"VQC, 2 features, real_amplitudes | {train_score_q2_ra:10.2f} | {test_score_q2_ra:10.2f}\")\n",
    "print(f\"VQC, 2 features, efficient_su2   | {train_score_q2_eff:10.2f} | {test_score_q2_eff:10.2f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "moderate-nashville",
   "metadata": {},
   "source": [
    "Unsurprisingly, the classical models perform better than their quantum counterparts, but classical ML has come a long way, and quantum ML has yet to reach that level of maturity. As we can see,  we achieved the best results using a classical support vector machine. But the quantum model trained on four features was also quite good. When we reduced the number of features, the performance of all models went down as expected. So, if resources permit training a model on a full-featured dataset without any reduction, you should train such a model. If not, you may expect to compromise between dataset size, training time, and score.\n",
    "\n",
    "Another observation is that even a simple ansatz change can lead to better results. The two-feature model with the `efficient_su2` ansatz performs better than the one with `real_amplitudes`. That means the choice of hyperparameters plays the same critical role in quantum ML as in classical ML, and searching for optimal hyperparameters may take a long time. You may apply the same techniques we use in classical ML, such as random/grid or more sophisticated approaches.\n",
    "\n",
    "We hope this brief tutorial helps you to take the leap from classical to quantum ML."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "median-psychology",
   "metadata": {},
   "outputs": [
    {
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       "<h3>Version Information</h3><table><tr><th>Software</th><th>Version</th></tr><tr><td><code>qiskit</code></td><td>1.4.3</td></tr><tr><td><code>qiskit_machine_learning</code></td><td>0.9.0</td></tr><tr><th colspan='2'>System information</th></tr><tr><td>Python version</td><td>3.12.9</td></tr><tr><td>OS</td><td>Windows</td></tr><tr><td colspan='2'>Fri Jul 18 14:06:07 2025 Eastern Daylight Time</td></tr></table>"
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       "<div style='width: 100%; background-color:#d5d9e0;padding-left: 10px; padding-bottom: 10px; padding-right: 10px; padding-top: 5px'><h3>This code is a part of a Qiskit project</h3><p>&copy; Copyright IBM 2017, 2025.</p><p>This code is licensed under the Apache License, Version 2.0. You may<br>obtain a copy of this license in the LICENSE.txt file in the root directory<br> of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.<p>Any modifications or derivative works of this code must retain this<br>copyright notice, and modified files need to carry a notice indicating<br>that they have been altered from the originals.</p></div>"
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       "<IPython.core.display.HTML object>"
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   "source": [
    "import tutorial_magics\n",
    "\n",
    "%qiskit_version_table\n",
    "%qiskit_copyright"
   ]
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  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7c0e33b9-68fc-4964-8274-6279ce05bf29",
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